| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "she said softly [softly]" |
| | dialogueSentences | 50 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.1 | | effectiveRatio | 0.08 | |
| 78.49% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1395 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "truly" | | 1 | "softly" | | 2 | "carefully" | | 3 | "really" | | 4 | "slightly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 53.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1395 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "comfortable" | | 1 | "gloom" | | 2 | "whisper" | | 3 | "weight" | | 4 | "desire" | | 5 | "silence" | | 6 | "complex" | | 7 | "navigate" | | 8 | "beacon" | | 9 | "sanctuary" | | 10 | "pang" | | 11 | "fleeting" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 99 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 99 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1389 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 1084 | | uniqueNames | 8 | | maxNameDensity | 0.55 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 1 | | Blackwood | 1 | | Rory | 4 | | Silas | 6 | | Cardiff | 1 | | Mindless | 1 |
| | persons | | 0 | "Nest" | | 1 | "Blackwood" | | 2 | "Rory" | | 3 | "Silas" | | 4 | "Mindless" |
| | places | | 0 | "Raven" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 89.02% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed so charming so devoted" | | 1 | "quite sit flush with the floor" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.72 | | wordCount | 1389 | | matches | | 0 | "Not at the drink, but at him" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 127 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 31.57 | | std | 23.56 | | cv | 0.746 | | sampleLengths | | 0 | 92 | | 1 | 65 | | 2 | 22 | | 3 | 16 | | 4 | 62 | | 5 | 58 | | 6 | 1 | | 7 | 70 | | 8 | 24 | | 9 | 21 | | 10 | 29 | | 11 | 22 | | 12 | 18 | | 13 | 22 | | 14 | 91 | | 15 | 7 | | 16 | 67 | | 17 | 10 | | 18 | 33 | | 19 | 16 | | 20 | 33 | | 21 | 15 | | 22 | 5 | | 23 | 41 | | 24 | 15 | | 25 | 31 | | 26 | 12 | | 27 | 1 | | 28 | 14 | | 29 | 96 | | 30 | 16 | | 31 | 30 | | 32 | 22 | | 33 | 41 | | 34 | 42 | | 35 | 21 | | 36 | 30 | | 37 | 43 | | 38 | 21 | | 39 | 24 | | 40 | 19 | | 41 | 14 | | 42 | 35 | | 43 | 22 |
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| 98.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 99 | | matches | | 0 | "was banked" | | 1 | "was meant" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 165 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 127 | | ratio | 0.008 | | matches | | 0 | "You didn’t demand it; you waited for it to be offered." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1090 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.031192660550458717 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.012844036697247707 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 10.94 | | std | 6.4 | | cv | 0.585 | | sampleLengths | | 0 | 20 | | 1 | 28 | | 2 | 16 | | 3 | 14 | | 4 | 14 | | 5 | 12 | | 6 | 16 | | 7 | 26 | | 8 | 11 | | 9 | 22 | | 10 | 10 | | 11 | 6 | | 12 | 8 | | 13 | 25 | | 14 | 8 | | 15 | 13 | | 16 | 8 | | 17 | 13 | | 18 | 16 | | 19 | 8 | | 20 | 7 | | 21 | 14 | | 22 | 1 | | 23 | 8 | | 24 | 2 | | 25 | 8 | | 26 | 20 | | 27 | 4 | | 28 | 5 | | 29 | 16 | | 30 | 7 | | 31 | 10 | | 32 | 14 | | 33 | 7 | | 34 | 14 | | 35 | 23 | | 36 | 6 | | 37 | 15 | | 38 | 7 | | 39 | 11 | | 40 | 7 | | 41 | 13 | | 42 | 9 | | 43 | 18 | | 44 | 12 | | 45 | 17 | | 46 | 26 | | 47 | 3 | | 48 | 3 | | 49 | 12 |
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| 50.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3543307086614173 | | totalSentences | 127 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 95 | | matches | | 0 | "Then her eyes settled on" | | 1 | "Only Rory had ever called" | | 2 | "Just held up her bleeding" | | 3 | "Then she turned her head" |
| | ratio | 0.042 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 95 | | matches | | 0 | "He placed the glass on" | | 1 | "She moved towards the bar," | | 2 | "She slid onto a stool" | | 3 | "She didn’t look at him," | | 4 | "Her gaze swept the room," | | 5 | "It was a museum of" | | 6 | "Her breath hitched, a tiny," | | 7 | "He set a heavy tumbler" | | 8 | "Her face, a moment ago" | | 9 | "He froze, the bottle still" | | 10 | "It was different, older, but" | | 11 | "He let his gaze truly" | | 12 | "He hadn’t heard that name," | | 13 | "He set the bottle down" | | 14 | "He gestured vaguely at the" | | 15 | "She repeated the words, her" | | 16 | "He pushed the glass towards" | | 17 | "She wrapped her fingers around" | | 18 | "He leaned against the back" | | 19 | "He watched her take a" |
| | ratio | 0.589 | |
| 23.16% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 95 | | matches | | 0 | "The door to The Raven's" | | 1 | "A gust of wind carried" | | 2 | "Silas Blackwood looked up from" | | 3 | "A woman, shaking water from" | | 4 | "He placed the glass on" | | 5 | "She moved towards the bar," | | 6 | "The low light caught the" | | 7 | "She slid onto a stool" | | 8 | "The air hummed with the" | | 9 | "Silas’s voice was a low" | | 10 | "The woman pushed her wet" | | 11 | "She didn’t look at him," | | 12 | "Her gaze swept the room," | | 13 | "It was a museum of" | | 14 | "Her breath hitched, a tiny," | | 15 | "Silas had already turned to" | | 16 | "He set a heavy tumbler" | | 17 | "Her face, a moment ago" | | 18 | "He froze, the bottle still" | | 19 | "It was different, older, but" |
| | ratio | 0.874 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 95 | | matches | | 0 | "Now, sitting in his bar," | | 1 | "Even with the shadows in" |
| | ratio | 0.021 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 1 | | matches | | 0 | "She repeated, her gaze dropping to the glass of whiskey" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "She repeated (repeat)" | | 1 | "her bleeding (bleed)" |
| | dialogueSentences | 50 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.4 | | effectiveRatio | 0.08 | |